Artificial Intelligence for Food Security

CSIS’s Artificial Intelligence for Food Security project focuses on the promises and risks of AI-enabled technologies for global food security.

As a part of the AI Collaborative: Food Security, the CSIS Global Food and Water Security Program’s work on artificial intelligence (AI) for food security convenes policymakers, technology developers, financers, researchers, and implementing partners for cross-cutting discussions on the applications of artificial intelligence for global food security. The Collaborative is structured around three pillars:

Hunger Forecasting and Early Warning Systems
Providing reliable, real-time, and decision-ready insights for field practitioners and policymakers worldwide.
Crop Breeding
Developing AI-enabled technologies to accelerate breeding and improve crop quality and yield.
Guidance for Farmers and Precision Agriculture
Delivering accessible, timely, and actionable information and tools to support on- the-ground decision making.

This project is made possible through generous support from Google.org.

Contact Information

Rose Parker
Program Manager, Global Food and Water Security Program
202.775.7301
[email protected]

Media Queries

Upcoming Event

In Person

Webcast

AI for Food Security Forum

Presented by Global Food and Water Security Program

April 30, 2026 • 8:30 am – 6:30 pm EDT

Featured Analysis

AI and Global Food Security: A Focus on Crop Breeding

AI promises to transform modern crop breeding, helping develop more resilient, nutritious, and higher-yielding crops with unprecedented pace—though barriers remain. CSIS experts unpack the benefits and risks of AI-enabled innovations for crop breeding around the world.

Critical Questions by Zane Swanson, Emma Curtis, and Caitlin Welsh — March 26, 2026